context("CBPS integration")

test_that("internal predict.CBPS function", {
  if (requireNamespace('CBPS', quietly = TRUE)) {
    cpsm <- CBPS::CBPS(pr ~ date + t1 + t2 + cap + ne + ct + bw + cum.n, ATT = 0, data = nuclearplants)
    expect_true(is(fullmatch(cpsm, data = nuclearplants), "optmatch"))

    # Check recognition of type argument.

    mo0 <- match_on(cpsm, data=nuclearplants)
    mo1 <- match_on(cpsm, data=nuclearplants, type="link")
    expect_equivalent(mo0,mo1)
    expect_equivalent(fullmatch(mo0, data=nuclearplants), fullmatch(cpsm, data=nuclearplants))

    mo2 <- match_on(cpsm, data=nuclearplants, type="response")
    expect_false(isTRUE(all.equal(mo1, mo2, check.attributes =FALSE)))
    expect_equivalent(fullmatch(mo2, data=nuclearplants), fullmatch(cpsm, data=nuclearplants, type="response"))

    # See if scores is properly imputing.

    nuclearplants$t1[c(2,5,10)] <- NA
    nuclearplants$ne[c(6,25,23)] <- NA

    cpsm <- CBPS::CBPS(pr ~ date + t1 + t2 + cap + ne + ct + bw + cum.n, ATT = 0, data = nuclearplants)
    expect_true(length(fullmatch(cpsm, data = nuclearplants)) == nrow(nuclearplants))
  } else {
    expect_true(TRUE) # avoiding empty test warning
  }
})